About the Journal

AI, Big Data and Quantitative Methods in Finance (ABQ) is a peer-reviewed scholarly journal that publishes high-quality research on the application of artificial intelligence, big data analytics, and quantitative methods in the field of finance. The journal serves as an interdisciplinary platform for academics, researchers, and practitioners to disseminate innovative theoretical and empirical studies that advance financial decision-making, risk management, financial markets analysis, and financial technology development.

ABQ welcomes original research articles, review papers, and methodological studies that explore machine learning, data science, econometrics, statistical modeling, optimization techniques, and computational finance applied to banking, investment, corporate finance, insurance, and financial markets. The journal emphasizes rigorous quantitative approaches and data-driven insights that contribute to both academic literature and practical financial solutions.

By integrating emerging digital technologies with advanced quantitative techniques, ABQ aims to foster knowledge exchange, encourage innovation, and support the development of sustainable, efficient, and resilient financial systems at both national and global levels.

EISSN: 3163-6586

Current Issue

Vol. 1 No. 1 (2026): ABQ Vol. 1 No. 1, April 2026

This issue consists of 5 articles from 19 authors affiliated with 6 institutions from 2 countries, including:

  • Indonesia (Bank Indonesia, IPB University,PMI-International Business School, Universitas Bhayangkara Jakarta Raya, PT Gema Mulia Semesta (Souvia))
  • Malaysia (Universiti Putra Malaysia)
Published: 2026-04-29

Articles

  • Indonesia’s Financial System Stability: Effects of Domestic and Global Factors

    Syifa Rifa Rosyadah, Hermanto Siregar, Fahmi Salam Ahmad (Author)
    1
    DOI: https://doi.org/10.17358/abq.1.1.1

  • Spillovers Between Indonesia's Green Index, Conventional Index and Global Stock Index: Which is More Stable?

    Ade Holis, Edi Sumanto, Roy Hendra Michael Sembel, Adler Haymans Manurung (Author)
    12
    DOI: https://doi.org/10.17358/abq.1.1.12

  • Asymmetric Effects of Macroeconomic Variables on Stock Market Indices: Evidence From Developed and Emerging Economies

    Imatul Hamza, Linda Karlina Sari, Sendy Watazawwadu’Ilmi Watazawwadu’Ilmi, Fuad Wahdan Muhibuddin (Author)
    25
    DOI: https://doi.org/10.17358/abq.1.1.25

  • Ownership Structure as a Resilience Moderator: Phase-Dependent Asymmetric Drawdown Dynamics in Blue-Chip Versus Broad-Market Indices During a Geopolitical Crisis

    Muchammad Bachtiar, Fithriyyah Shalihati, Agustina Widi Palupiningrum, Anny Ratnawati (Author)
    39
    DOI: https://doi.org/10.17358/abq.1.1.39

  • Does Financial Development Widen or Reduce Income Inequality? Evidence From Developed and Developing Countries

    Trincy Nissi, Noer Azam Achsani, Heni Hasanah, Annisa Ramadanti (Author)
    52
    DOI: https://doi.org/10.17358/abq.1.1.52
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